A5064123714- Image Enhancement Techniques
- Neural Networks and Applications
- Computer Graphics and Visualization Techniques
- Machine Learning and Data Classification
- Explainable Artificial Intelligence (XAI)
- Advanced Vision and Imaging
- Software Engineering Research
- Online Learning and Analytics
- Recommender Systems and Techniques
- Advanced Bandit Algorithms Research
- Topic Modeling
- Data Stream Mining Techniques
Mercedes-Benz (Germany)
2023-2024
Politecnico di Milano
2021
Vision in adverse weather conditions, whether it be snow, rain, or fog is challenging. In these scenarios, scattering and attenuation severly degrades image quality. Handling such inclement however, essential to operate autonomous vehicles, drones robotic applications where human performance impeded the most. A large body of work explores removing weather-induced degradations with dehazing methods. Most methods rely on single images as input struggle generalize from synthetic...
No augmented application is possible without animated humanoid avatars. At the same time, generating human replicas from real-world monocular hand-held or robotic sensor setups challenging due to limited availability of views. Previous work showed feasibility virtual avatars but required presence 360 degree views targeted subject. To address this issue, we propose HINT, a NeRF-based algorithm able learn detailed and complete model viewing angles. We achieve by introducing symmetry prior,...
In this paper we provide an overview of the approach used as team Trial&Error for ACM RecSys Challenge 2021. The competition, organized by Twitter, addresses problem predicting different categories user engagements (Like, Reply, Retweet and with Comment), given a dataset previous interactions on Twitter platform. Our proposed method relies efficiently leveraging massive amount data, crafting wide variety features designing lightweight solution. This results in significant reduction...
Vision in adverse weather conditions, whether it be snow, rain, or fog is challenging. In these scenarios, scattering and attenuation severly degrades image quality. Handling such inclement however, essential to operate autonomous vehicles, drones robotic applications where human performance impeded the most. A large body of work explores removing weather-induced degradations with dehazing methods. Most methods rely on single images as input struggle generalize from synthetic...
In this paper we provide an overview of the approach used as team Surricchi1 for ACM RecSys Challenge 20221. The competition, sponsored and organized by Dressipi, involves a typical session-based recommendation task in fashion industry domain. Our proposed method2 leverages ensemble multiple recommenders selected to capture diverse facets input data. Such modular allowed our achieve competitive results with score 0.1994 Mean Reciprocal Rank at 100 (∼ 7.6% less than first qualified team). We...